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Cognitive robotics may be considered the engineering branch of embodied cognitive science and embodied embedded cognition, consisting of Robotic Process Automation, Artificial Intelligence, Machine Learning, Deep Learning, Optical Character Recognition, Image Processing, Process Mining, Analytics, Software Development and System Integration.
Murray Patrick Shanahan is a professor of Cognitive Robotics at Imperial College London, [3] in the Department of Computing, and a senior scientist at DeepMind. [4] He researches artificial intelligence , robotics, and cognitive science.
Neurorobotics is the combined study of neuroscience, robotics, and artificial intelligence.It is the science and technology of embodied autonomous neural systems. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural networks, large-scale simulations of neural microcircuits) and actual ...
ACT-R (pronounced /ˌækt ˈɑr/; short for "Adaptive Control of Thought—Rational") is a cognitive architecture mainly developed by John Robert Anderson and Christian Lebiere at Carnegie Mellon University. Like any cognitive architecture, ACT-R aims to define the basic and irreducible cognitive and perceptual operations that enable the human ...
Dr. Murphy, giving a TED talk on Disaster Robotics. Robin Roberson Murphy is an American computer scientist and roboticist. She is the Raytheon Professor of Computer Science and Engineering at Texas A&M University. She is known as a founder of the fields of rescue robotics [1] and human-robot interaction [2] and for inserting robots into ...
The design of swarm robotics systems is guided by swarm intelligence principles, which promote fault tolerance, scalability, and flexibility. [1] Unlike distributed robotic systems in general, swarm robotics emphasizes a large number of robots. While various formulations of swarm intelligence principles exist, one widely recognized set includes:
The embodiment of the robot, situated in a physical embedding, provides at the same time specific difficulties (e.g. high-dimensionality, real time constraints for collecting data and learning) and opportunities for guiding the learning process (e.g. sensorimotor synergies, motor primitives).
Stefano Nolfi (born 23 September 1963, Rome) is a director of research of the Institute of Cognitive Sciences and Technologies at the Consiglio Nazionale delle Ricerche and head of the Laboratory of Autonomous Robots and Artificial Life. He is one of the founders of Evolutionary robotics (see his book [1] published by MIT Press in 2000). Nolfi ...